Evidence map›Paper›PMID 42254857›Full record

ArticleGastro hep advances2026

Nonlinear Association Between Metabolic Syndrome Severity and Advanced Fibrosis in Metabolic Dysfunction-Associated Steatotic Liver Disease.

Mohamed I Elsaid, Yesung Kweon, Na Li, Soledad Fernández, Electra D Paskett, Khalid Mumtaz, Vinod K Rustgi

Abstract read
In one paragraph

Article in Gastro hep advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Mohamed I ElsaidDivision of Biostatistics and Population Health, Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, Ohio.
Yesung KweonCenter for Biostatistics, The Ohio State University, Columbus, Ohio.
Na LiDivision of Gastroenterology, Hepatology, and Nutrition, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, Ohio.
Soledad FernándezDivision of Biostatistics and Population Health, Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, Ohio.
Electra D PaskettThe Ohio State University Comprehensive Cancer Center, Columbus, Ohio.
Khalid MumtazDivision of Gastroenterology, Hepatology, and Nutrition, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, Ohio.
Vinod K RustgiDivision of Gastroenterology, Hepatology, and Nutrition, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, Ohio.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Metabolic dysfunction drives hepatic progression in metabolic dysfunction-associated steatotic liver disease (MASLD), yet conventional binary metabolic syndrome (MetS) definitions may obscure dose-response risk of fibrosis. We evaluated the association between MetS severity and advanced fibrosis probability in a representative US MASLD cohort. Methods: Adults aged 20-74 years with ultrasound-defined MASLD in the Third National Health and Nutrition Examination Survey were analyzed. Exposure was the validated MetS severity Z-score (quartiles, percentile categories, and continuous percentile with restricted cubic splines). Outcome was the Nonalcoholic Fatty Liver Disease Fibrosis Score (NFS)-defined advanced fibrosis probability (intermediate-to-high: NFS ≥ -1.455; high: NFS > 0.676). Complex survey logistic regression estimated adjusted odds ratios (aORs). Results: Among 3036 participants, 29.6% had intermediate fibrosis probability and 5.2% had high advanced fibrosis probability. High fibrosis probability was most prevalent in non-Hispanic Black adults (8.0%) and least in Mexican Americans (2.6%; Conclusion: MetS severity demonstrates a graded and nonlinear association with advanced fibrosis probability in MASLD. A continuous metabolic-burden measure may enhance upstream triage and risk stratification alongside existing noninvasive pathways.

Indexed as

Metabolic Syndrome Severity ScoreNAFLD Fibrosis ScoreNoninvasive Fibrosis AssessmentRestricted Cubic SplineRisk Stratification

Identifiers

PMID42254857
PMCPMC13240804

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.